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Apoyo a nuevas iniciativas de datos abiertos: Iniciativa de Datos Institucionales y CORE

diciembre 16, 2024

Apoyo a nuevas iniciativas de datos abiertos: Iniciativa de Datos Institucionales y CORE

Imagen de un estante con libros en una biblioteca

Por: Burton Davis , vicepresidente y consejero general adjunto del grupo de propiedad intelectual de Microsoft

Microsoft se enorgullece de apoyar el establecimiento de la nueva Iniciativa de Datos Institucionales (IDI) de la Biblioteca de la Facultad de Derecho de Harvard, que trabajará junto con otras instituciones de conocimiento para aumentar el acceso al conocimiento y a los datos de alta calidad para todos los creadores de IA.

Microsoft se compromete a permitir un amplio acceso a los datos y a potenciar un ecosistema de IA más inclusivo. Desde 2020, con el lanzamiento de nuestra Campaña de Datos Abiertos, en Microsoft hemos trabajado para cerrar la brecha de datos, para asegurar que todas las organizaciones tengan acceso a los datos para innovar y lograr más, lo cual es esencial para hacer crecer una economía de IA vibrante y competitiva.  

En una publicación de blog conjunta de Satya Nadella, presidente y director ejecutivo y Brad Smith, vicepresidente y presidente de Microsoft, junto con Marc Andreessen, cofundador y socio general, y Ben Horowitz, cofundador y socio general de Andreessen Horowitz, dijeron que «los datos son un insumo crítico para todos los desarrolladores de IA», y necesitamos datos comunes abiertos para promover un «ecosistema de datos próspero y creciente en todo el mundo».

El trabajo de IDI será un paso significativo hacia este objetivo.

IDI trabajará con instituciones bibliotecarias, académicas y gubernamentales de todo el mundo para desbloquear y refinar datos de alta calidad, y comenzará con las colecciones de la Biblioteca de la Facultad de Derecho de Harvard. Además, la Biblioteca Pública de Boston prepara una colección como parte de su compromiso con IDI. Estas colecciones de datos contienen instantáneas críticas de culturas y visiones del mundo a lo largo de los siglos que deberían reflejarse en las innovaciones de IA.

IDI invita de manera activa a la participación de organizaciones sin fines de lucro, universidades, gobiernos y otras empresas de tecnología para avanzar en la apertura de datos de alta calidad en el interés público a través de los datos abiertos comunes. Este esfuerzo se centra en aumentar tanto la cantidad de datos disponibles para el público como la diversidad de fuentes, culturas, idiomas y temas representados en esos datos. Esta variedad ayudará a garantizar que la IA refleje y pueda beneficiar a todas las comunidades.

Además, apoyamos a CORE, un servicio de infraestructura de acceso abierto sin fines de lucro operado por The Open University en el Reino Unido. CORE busca abrir el acceso al conocimiento académico en todo el mundo. Esto requiere tanto la disponibilidad de investigación de alta calidad como la infraestructura de apoyo necesaria para almacenarla y acceder a ella. Nuestra contribución a CORE ayudará a mejorar sus servicios para el acceso automático al contenido de investigación académica, apoyará la investigación sobre formas éticas de usar el contenido académico en la era de la IA e informará los enfoques para abrir el acceso a contenido de investigación más académica. 

Para que la innovación en IA funcione para todos, el acceso a datos amplios y variados es imprescindible, y no solo para las grandes empresas como Microsoft, sino también para los investigadores y las startups. Es necesario mejorar el rendimiento, mejorar la seguridad y minimizar el sesgo. Esperamos trabajar con IDI y CORE para hacer que los datos diversos y de alta calidad sean más accesibles para todos los desarrolladores.

The post Apoyo a nuevas iniciativas de datos abiertos: Iniciativa de Datos Institucionales y CORE appeared first on Source LATAM.

 

​The post Apoyo a nuevas iniciativas de datos abiertos: Iniciativa de Datos Institucionales y CORE appeared first on Source LATAM.  

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Amazon Timestream for InfluxDB now supports Internet Protocol Version 6 (IPv6) connectivity

Amazon Timestream for InfluxDB now offers customers the option to create instances with Internet Protocol version 6 (IPv6) addresses. Timestream for InfluxDB makes it easy for application developers and DevOps teams to run fully managed InfluxDB databases on Amazon Web Services for real-time time-series applications using open-source APIs. Customers moving to IPv6 can now simplify their network stack by creating their Timestream for InfluxDB instances on a network that supports both IPv4 and IPv6.

The continued growth of the internet is exhausting available Internet Protocol version 4 (IPv4) addresses. IPv6 increases the number of available addresses by several orders of magnitude so customers will no longer need to manage overlapping address spaces in their VPCs. Customers can also continue to connect to Amazon Timestream for InfluxDB via IPv4 connections if they do not utilize IPv6.

Support for IPv6 on Amazon Timestream for InfluxDB is available in all Regions where Timestream for InfluxDB is available. See here for a full listing of our Regions. To learn more about Amazon Timestream for InfluxDB, please refer to our user guide.

 

​Amazon Timestream for InfluxDB now offers customers the option to create instances with Internet Protocol version 6 (IPv6) addresses. Timestream for InfluxDB makes it easy for application developers and DevOps teams to run fully managed InfluxDB databases on Amazon Web Services for real-time time-series applications using open-source APIs. Customers moving to IPv6 can now simplify their network stack by creating their Timestream for InfluxDB instances on a network that supports both IPv4 and IPv6. The continued growth of the internet is exhausting available Internet Protocol version 4 (IPv4) addresses. IPv6 increases the number of available addresses by several orders of magnitude so customers will no longer need to manage overlapping address spaces in their VPCs. Customers can also continue to connect to Amazon Timestream for InfluxDB via IPv4 connections if they do not utilize IPv6. Support for IPv6 on Amazon Timestream for InfluxDB is available in all Regions where Timestream for InfluxDB is available. See here for a full listing of our Regions. To learn more about Amazon Timestream for InfluxDB, please refer to our user guide.  

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Kinesis Producer Library now supports the AWS SDK for Java 2.x

AWS announces a new version of Kinesis Producer Library (KPL) that supports the AWS SDK for Java 2.x for improved performance and security features. With the new KPL version 1.0, now you can fully remove the dependency on the AWS SDK for Java 1.x. You can upgrade your applications running previous KPL versions to KPL 1.0 without any change in your core data processing logic.

Amazon Kinesis Data Streams is a serverless data streaming service that enables customers to capture, process, and store real-time data streams at any scale. Kinesis Producer Library is an open-source library that simplifies producer application development, enabling developers to achieve high write throughput to a Kinesis data stream by aggregating and batching the data.

KPL 1.0 is available with Amazon Kinesis Data Streams in all AWS regions. To learn more, see the Amazon Kinesis Data Streams developer guide and KPL 1.0 release notes.

 

​AWS announces a new version of Kinesis Producer Library (KPL) that supports the AWS SDK for Java 2.x for improved performance and security features. With the new KPL version 1.0, now you can fully remove the dependency on the AWS SDK for Java 1.x. You can upgrade your applications running previous KPL versions to KPL 1.0 without any change in your core data processing logic. Amazon Kinesis Data Streams is a serverless data streaming service that enables customers to capture, process, and store real-time data streams at any scale. Kinesis Producer Library is an open-source library that simplifies producer application development, enabling developers to achieve high write throughput to a Kinesis data stream by aggregating and batching the data. KPL 1.0 is available with Amazon Kinesis Data Streams in all AWS regions. To learn more, see the Amazon Kinesis Data Streams developer guide and KPL 1.0 release notes.  

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Amazon EBS launches Local Snapshots for AWS Dedicated Local Zones

You can now use Amazon EBS Local Snapshots in AWS Dedicated Local Zones. Dedicated Local Zones are a type of AWS infrastructure that are fully managed by AWS, built for exclusive use by you or your community, and placed in a location or data center specified by you to help you comply with regulatory requirements.

Customers use EBS Snapshots to back up their EBS volumes for disaster recovery, data migration, and compliance purposes. With Local Snapshots, you can now create backups of your EBS volumes in Dedicated Local Zones and store them within the same geographical boundary as your EBS volumes, helping you meet your data isolation and data residency use cases. You can also create Identity and Access Management (IAM) policies for your account to enforce that snapshots are stored within the Dedicated Local Zone. Additionally, you can use Amazon Data Lifecycle Manager (DLM) to automate the creation and retention of local snapshots.

Local Snapshots are available through the AWS Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, see the technical documentation on Local Snapshots.

 

​You can now use Amazon EBS Local Snapshots in AWS Dedicated Local Zones. Dedicated Local Zones are a type of AWS infrastructure that are fully managed by AWS, built for exclusive use by you or your community, and placed in a location or data center specified by you to help you comply with regulatory requirements. Customers use EBS Snapshots to back up their EBS volumes for disaster recovery, data migration, and compliance purposes. With Local Snapshots, you can now create backups of your EBS volumes in Dedicated Local Zones and store them within the same geographical boundary as your EBS volumes, helping you meet your data isolation and data residency use cases. You can also create Identity and Access Management (IAM) policies for your account to enforce that snapshots are stored within the Dedicated Local Zone. Additionally, you can use Amazon Data Lifecycle Manager (DLM) to automate the creation and retention of local snapshots. Local Snapshots are available through the AWS Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, see the technical documentation on Local Snapshots.  

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Introducing Amazon EC2 High Memory U7inh Instance

Amazon Web Services is announcing the general availability of Amazon EC2 High Memory U7inh instance, a new addition to EC2 High Memory family, built in collaboration with Hewlett Packard Enterprise (HPE). Amazon EC2 U7inh instance run on 16-socket HPE Compute Scale-up Server 3200, and are built on the AWS Nitro System to deliver a fully integrated and managed experience consistent with other EC2 instances. Powered by the fourth generation Intel Xeon Scalable Processors (Sapphire Rapids), U7inh instance offers 32TB of memory with 1920 vCPUs. U7inh is the highest performing High Memory instance in Amazon EC2 for running large, compute-intensive in-memory database workloads such as SAP HANA.

U7inh instance is certified by SAP for running SAP S/4HANA, SAP BW/4HANA, Business Suite on HANA, Data Mart Solutions on HANA, and Business Warehouse on HANA in production environments. For details, see the SAP HANA Hardware Directory.

U7inh instance enables 160Gbps of Elastic Block Storage (EBS) bandwidth for storage volumes including io2 Block Express to support IO-intensive use cases such as data hydration, backup and restore. In addition, the instance supports up to 200Gbps of network bandwidth and support ENA Express.

U7inh instance is available in the US East (N. Virginia) and US West (Oregon) AWS Regions for purchase via a 3-Yr Savings Plan. To learn more, visit the U7i instances page.
 

 

​Amazon Web Services is announcing the general availability of Amazon EC2 High Memory U7inh instance, a new addition to EC2 High Memory family, built in collaboration with Hewlett Packard Enterprise (HPE). Amazon EC2 U7inh instance run on 16-socket HPE Compute Scale-up Server 3200, and are built on the AWS Nitro System to deliver a fully integrated and managed experience consistent with other EC2 instances. Powered by the fourth generation Intel Xeon Scalable Processors (Sapphire Rapids), U7inh instance offers 32TB of memory with 1920 vCPUs. U7inh is the highest performing High Memory instance in Amazon EC2 for running large, compute-intensive in-memory database workloads such as SAP HANA. U7inh instance is certified by SAP for running SAP S/4HANA, SAP BW/4HANA, Business Suite on HANA, Data Mart Solutions on HANA, and Business Warehouse on HANA in production environments. For details, see the SAP HANA Hardware Directory. U7inh instance enables 160Gbps of Elastic Block Storage (EBS) bandwidth for storage volumes including io2 Block Express to support IO-intensive use cases such as data hydration, backup and restore. In addition, the instance supports up to 200Gbps of network bandwidth and support ENA Express. U7inh instance is available in the US East (N. Virginia) and US West (Oregon) AWS Regions for purchase via a 3-Yr Savings Plan. To learn more, visit the U7i instances page.    

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Bottlerocket now supports Elastic Fabric Adapter for AI/ML and HPC workloads

Today, AWS announces the introduction of Elastic Fabric Adapter (EFA) support for Bottlerocket, the Linux-based operating system purpose-built for hosting containers, with a focus on security, minimal footprint, and safe updates. An EFA is a network device that you can attach to your Amazon EC2 instance to accelerate Artificial Intelligence (AI), Machine Learning (ML), and High Performance Computing (HPC) applications.

EFA support allows customers to use Bottlerocket with instance types such as G4, G5, P4, and P5 (see full list of the supported instance types). When an EFA device is detected, Bottlerocket automatically reserves huge pages and updates the locked memory limits for containers, ensuring the best possible EFA performance. This integration provides customers with a secure, efficient, and high-performance container hosting environment for their most demanding computational tasks.

EFA support is available on all first-party Bottlerocket Amazon Machine Images starting with version 1.28.0 and is accessible in all commercial AWS Regions and AWS GovCloud (US) Regions. To get started with Bottlerocket, see the Bottlerocket User Guide. You can also visit the Bottlerocket product page and explore the Bottlerocket GitHub repository for more information.

 

​Today, AWS announces the introduction of Elastic Fabric Adapter (EFA) support for Bottlerocket, the Linux-based operating system purpose-built for hosting containers, with a focus on security, minimal footprint, and safe updates. An EFA is a network device that you can attach to your Amazon EC2 instance to accelerate Artificial Intelligence (AI), Machine Learning (ML), and High Performance Computing (HPC) applications. EFA support allows customers to use Bottlerocket with instance types such as G4, G5, P4, and P5 (see full list of the supported instance types). When an EFA device is detected, Bottlerocket automatically reserves huge pages and updates the locked memory limits for containers, ensuring the best possible EFA performance. This integration provides customers with a secure, efficient, and high-performance container hosting environment for their most demanding computational tasks. EFA support is available on all first-party Bottlerocket Amazon Machine Images starting with version 1.28.0 and is accessible in all commercial AWS Regions and AWS GovCloud (US) Regions. To get started with Bottlerocket, see the Bottlerocket User Guide. You can also visit the Bottlerocket product page and explore the Bottlerocket GitHub repository for more information.  

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Amazon AppStream 2.0 users can now save their user preferences between streaming sessions

Amazon AppStream 2.0 now enables end users to save their client preferences when streaming through a web browser or AppStream 2.0 client application for Windows. These preferences will be applied automatically when the user connects again using the same client, helping to provide consistent experience across sessions.

Users can now customize and save AppStream 2.0 client preferences across sessions when accessing from the same client. These preferences include audio (microphone), video (webcam), regional settings, and streaming mode, and macOS keyboard mappings. Previously, users had to manually re-adjust these settings during each session. By persisting personalized settings across sessions, AppStream 2.0 helps provide a more consistent and efficient user experience.

The functionality is available in AppStream 2.0 Windows client version 1.1.1403 and later, as well as in all supported web browsers. To download and install the latest client, visit Amazon AppStream 2.0 Downloads.

 

​Amazon AppStream 2.0 now enables end users to save their client preferences when streaming through a web browser or AppStream 2.0 client application for Windows. These preferences will be applied automatically when the user connects again using the same client, helping to provide consistent experience across sessions. Users can now customize and save AppStream 2.0 client preferences across sessions when accessing from the same client. These preferences include audio (microphone), video (webcam), regional settings, and streaming mode, and macOS keyboard mappings. Previously, users had to manually re-adjust these settings during each session. By persisting personalized settings across sessions, AppStream 2.0 helps provide a more consistent and efficient user experience. The functionality is available in AppStream 2.0 Windows client version 1.1.1403 and later, as well as in all supported web browsers. To download and install the latest client, visit Amazon AppStream 2.0 Downloads.  

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Amazon EC2 instances support bandwidth configurations for VPC and EBS

AWS announces the general availability of Instance Bandwidth Configurations (IBC) for 8th generation, Graviton based instances. With IBC, customers can adjust the VPC and EBS service bandwidth, by up to 25%, on their EC2 instances. When increasing the bandwidth for one of the service, say VPC, the available bandwidth for the other service, EBS, is reduced. IBC does not increase your instances burst bandwidth, packets per second, or IOPS capabilities.

With IBC, AWS is providing customers greater flexibility with the allocation of their bandwidth resources to better optimize their workloads. Before today, EC2 instances were predefined with static bandwidth specifications, but now customers have more control over their resources. For storage and data analytics workloads, customers can use IBC to increase their VPC bandwidth allocation for improved performance replicating data or reading and writing data from services like Amazon Simple Storage Service (S3). For database workloads backing up data to EBS, customers can use IBC to increase their bandwidth allocation to improve querying and logging performance.

IBC is available starting with C8g, M8g, R8g, and X8g platforms. It is available in all AWS commercial regions and it comes at no additional cost. To get started and learn more, please see our EC2 user guide.

 

​AWS announces the general availability of Instance Bandwidth Configurations (IBC) for 8th generation, Graviton based instances. With IBC, customers can adjust the VPC and EBS service bandwidth, by up to 25%, on their EC2 instances. When increasing the bandwidth for one of the service, say VPC, the available bandwidth for the other service, EBS, is reduced. IBC does not increase your instances burst bandwidth, packets per second, or IOPS capabilities. With IBC, AWS is providing customers greater flexibility with the allocation of their bandwidth resources to better optimize their workloads. Before today, EC2 instances were predefined with static bandwidth specifications, but now customers have more control over their resources. For storage and data analytics workloads, customers can use IBC to increase their VPC bandwidth allocation for improved performance replicating data or reading and writing data from services like Amazon Simple Storage Service (S3). For database workloads backing up data to EBS, customers can use IBC to increase their bandwidth allocation to improve querying and logging performance. IBC is available starting with C8g, M8g, R8g, and X8g platforms. It is available in all AWS commercial regions and it comes at no additional cost. To get started and learn more, please see our EC2 user guide.  

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AWS Elemental MediaConnect Gateway now supports source-specific multicast

AWS Elemental MediaConnect Gateway now supports source-specific multicast (SSM). This new feature allows you to specify both a multicast group address and an optional source IP address when creating or updating MediaConnect Gateway bridge sources, offering greater flexibility, security, and efficiency in your workflows.

SSM support enhances control by allowing you to pull content from specific senders and filter unwanted traffic. It enables more efficient bandwidth use as network switches replicate data only when needed. Additionally, SSM improves security as content is only received from trusted sources via specified IP addresses.

To learn more about enabling SSM for MediaConnect Gateway, visit the AWS Elemental MediaConnect Gateway documentation page.

AWS Elemental MediaConnect is a reliable, secure, and flexible transport service for live video that enables broadcasters and content owners to build live video workflows and securely share live content with partners and customers. MediaConnect helps customers transport high-value live video streams into, through, and out of the AWS Cloud. MediaConnect can function as a standalone service or as part of a larger video workflow with other AWS Elemental Media Services, a family of services that form the foundation of cloud-based workflows to transport, transcode, package, and deliver video.

Visit the AWS Region Table for a full list of AWS Regions where MediaConnect is available. To learn more about MediaConnect, please visit here.

 

​AWS Elemental MediaConnect Gateway now supports source-specific multicast (SSM). This new feature allows you to specify both a multicast group address and an optional source IP address when creating or updating MediaConnect Gateway bridge sources, offering greater flexibility, security, and efficiency in your workflows. SSM support enhances control by allowing you to pull content from specific senders and filter unwanted traffic. It enables more efficient bandwidth use as network switches replicate data only when needed. Additionally, SSM improves security as content is only received from trusted sources via specified IP addresses. To learn more about enabling SSM for MediaConnect Gateway, visit the AWS Elemental MediaConnect Gateway documentation page. AWS Elemental MediaConnect is a reliable, secure, and flexible transport service for live video that enables broadcasters and content owners to build live video workflows and securely share live content with partners and customers. MediaConnect helps customers transport high-value live video streams into, through, and out of the AWS Cloud. MediaConnect can function as a standalone service or as part of a larger video workflow with other AWS Elemental Media Services, a family of services that form the foundation of cloud-based workflows to transport, transcode, package, and deliver video. Visit the AWS Region Table for a full list of AWS Regions where MediaConnect is available. To learn more about MediaConnect, please visit here.  

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AWS Resource Explorer supports 59 new resource types

AWS Resource Explorer now supports 59 more resource types across all AWS commercial Regions from services including Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Kendra, AWS Identity and Access Management (IAM) Access Analyzer, and Amazon SageMaker.

With this release, customers can now search for the following resource types in AWS Resource Explorer:
 

  • access-analyzer:analyzer
  • airflow:environment
  • amplify:apps/branches
  • amplify:apps/domains
  • appflow:flow
  • appmesh:mesh
  • appmesh:mesh/virtualNode
  • appmesh:mesh/virtualService
  • apprunner:service
  • appstream:image-builder
  • auditmanager:assessment
  • backup:backup-vault
  • codeguru-reviewer:association
  • connect:instance
  • connect:instance/transfer-destination
  • connect:instance/agent
  • databrew:schedule
  • datasync:location
  • datasync:task
  • dms:endpoint
  • dms:rep
  • dms:task
  • ecs:capacity-provider
  • eks:cluster
  • finspace:environment
  • gamelift:build
  • gamelift:gamesessionqueue
  • gamelift:matchmakingconfiguration
  • gamelift:matchmakingruleset
  • glue:mlTransform
  • groundstation:config
  • guardduty:detector/filter
  • guardduty:detector/ipset
  • guardduty:detector/threatintelset
  • healthlake:datastore/fhir
  • iotsitewise:dashboard
  • iotwireless:ServiceProfile
  • ivs:recording-configuration
  • kendra:index
  • memorydb:acl
  • memorydb:subnetgroup
  • network-firewall:firewall
  • networkmanager:attachment
  • mobiletargeting:apps/campaigns
  • mobiletargeting:apps/segments
  • proton:environment-account-connection
  • quicksight:dataset
  • quicksight:datasource
  • quicksight:template
  • ram:resource-share
  • route53resolver:resolver-query-log-config
  • sagemaker:domain
  • sagemaker:endpoint
  • sagemaker:feature-group
  • sagemaker:image
  • sagemaker:pipeline
  • signer:signing-profiles
  • transfer:workflow
  • workspaces:workspace

To view a complete list of all supported types, see the supported resource types page.

 

​AWS Resource Explorer now supports 59 more resource types across all AWS commercial Regions from services including Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Kendra, AWS Identity and Access Management (IAM) Access Analyzer, and Amazon SageMaker. With this release, customers can now search for the following resource types in AWS Resource Explorer:  

access-analyzer:analyzer
airflow:environment
amplify:apps/branches
amplify:apps/domains
appflow:flow
appmesh:mesh
appmesh:mesh/virtualNode
appmesh:mesh/virtualService
apprunner:service
appstream:image-builder
auditmanager:assessment
backup:backup-vault
codeguru-reviewer:association
connect:instance
connect:instance/transfer-destination
connect:instance/agent
databrew:schedule
datasync:location
datasync:task
dms:endpoint
dms:rep
dms:task
ecs:capacity-provider
eks:cluster
finspace:environment
gamelift:build
gamelift:gamesessionqueue
gamelift:matchmakingconfiguration
gamelift:matchmakingruleset
glue:mlTransform

groundstation:config
guardduty:detector/filter
guardduty:detector/ipset
guardduty:detector/threatintelset
healthlake:datastore/fhir
iotsitewise:dashboard
iotwireless:ServiceProfile
ivs:recording-configuration
kendra:index
memorydb:acl
memorydb:subnetgroup
network-firewall:firewall
networkmanager:attachment
mobiletargeting:apps/campaigns
mobiletargeting:apps/segments
proton:environment-account-connection
quicksight:dataset
quicksight:datasource
quicksight:template
ram:resource-share
route53resolver:resolver-query-log-config
sagemaker:domain
sagemaker:endpoint
sagemaker:feature-group
sagemaker:image
sagemaker:pipeline
signer:signing-profiles
transfer:workflow
workspaces:workspace

To view a complete list of all supported types, see the supported resource types page.